Senior Power BI Consultant · DAX · SQL · Microsoft Fabric · Data Modeling · Context Engineering
I build Power BI semantic models and reports that teams can trust — fast, consistent, and built to scale. 7+ years turning ERP, CRM, and SQL data into a single source of truth across distribution, logistics, pharmaceuticals, manufacturing, and e-commerce.
Microsoft Certified: Power BI Data Analyst Associate (PL-300)
| Project | Highlights |
|---|---|
| Inventory Control | Stock value at cost and list price, expiry risk by shelf life, and rest-of-year order requirements |
| Purchasing and Supply | Purchase volumes and invoices vs. prior year, supplier share, and new vs. dropped products |
| Trade Investment Budget | What the price sets aside for bonuses, in-store placements and marketing against what customer terms, discounts and credit notes spend — in total and per customer |
| Gross Margin | Gross profit and margin by brand, product and channel against prior year and before discounts, with price × volume, outlet reach and kept / new / lost behind each change |
Every project is fully documented, with CI checks and a DAX audit on every change, and anonymized to protect client confidentiality.
Each project follows a documented methodology — modeling rules, DAX standards, design rules, and testing protocols. I pair it with context engineering to use AI for DAX drafting, model documentation, and data exploration, with validation at every stage.
- Power BI: DAX · Power Query (M) · PBIP / TMDL · Row-Level Security · Paginated Reports · Power BI Service
- Microsoft Fabric: Lakehouse · Dataflows Gen2 · Data Pipelines · Semantic Models
- Data: SQL Server / T-SQL · Star & Snowflake Schema Design · ETL & Data Integration
- Context Engineering: AI Rules & Skills · Prompt Engineering · Automated Documentation
"We needed a data engineer that was both a SQL wizard and Power BI expert, and he over-delivered on both." — Upwork client